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metadata language: German English

Pre-election Cross Section (GLES 2017)

Resource Type
  • Roßteutscher, Sigrid (Universität Frankfurt)
  • Schmitt-Beck, Rüdiger (Universität Mannheim)
  • Schoen, Harald (Universität Mannheim)
  • Weßels, Bernhard (Wissenschaftszentrum Berlin für Sozialforschung)
  • Wolf, Christof (GESIS - Leibniz-Institut für Sozialwissenschaften)
  • Bieber, Ina (Universität Frankfurt)
  • Stövsand, Lars-Christopher (Universität Frankfurt)
  • Dietz, Melanie (Universität Frankfurt)
  • Scherer, Philipp (Universität Frankfurt)
Publication Date
  • Kantar Public Germany (Data Collector)
Temporal Coverage
  • 2017-07-31 / 2017-09-23
Geographic Coverage
  • Germany (DE)
Sampled Universe
The population comprises all persons with German citizenship resident in the Federal Republic of Germany, who had a minimum age of 16 years and lived in private households at the time the survey was being conducted.
Random sampling on the basis of local population registers. Oversampling of population in East Germany.
Collection Mode
  • Computer Assisted Personal Interview (CAPI)
Data and File Information
  • Number of Variables: 563
A - Data and documents are released for academic research and teaching.
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see
Alternative Identifiers
  • ZA6800 (Type: ZA-No.)
  • Is new version of
    DOI: 10.4232/1.13137
  • Is new version of
    DOI: 10.4232/1.13079
  • Is new version of
    DOI: 10.4232/1.12990
  • Is new version of
    DOI: 10.4232/1.12927
  • Is new version of
    DOI: 10.4232/1.12920

Update Metadata: 2019-02-26 | Issue Number: 1 | Registration Date: 2019-02-26

Roßteutscher, Sigrid; Schmitt-Beck, Rüdiger; Schoen, Harald; Weßels, Bernhard; Wolf, Christof et. al. (2019): Vorwahl-Querschnitt (GLES 2017). Version: 5.0.1. GESIS Datenarchiv. Dataset.